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Preliminary Study of Algorithm for Real-Time Flutter Monitoring
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English
Abstract
This paper describes an algorithm for real-time flutter monitoring. An auto-regressive (AR) model with time varying coefficients is used for continuous monitor of the nonstationary flutter parameters. AR coefficient change rates as well as AR coefficients can be obtained recursively by the Kalman filter implementation. Using these AR coefficients and change rates, the natural frequencies and damping values of vibration modes can be estimated, and these values at a few seconds ahead are also predicted.
This algorithm was tested on simulated data and wind tunnel test data, and showed desirable estimation performance.
Authors
Citation
Shibata, K. and Matsuzaki, K., "Preliminary Study of Algorithm for Real-Time Flutter Monitoring," SAE Technical Paper 912001, 1991, https://doi.org/10.4271/912001.Also In
References
- Roy Richard Walker Robert “Real-time Flutter Identification” NASA CR 3933 1985
- matsuzaki Yuji Ando Yasukatsu “Estimation of Flutter Boundary from Random Responses Due to Turbulence at Subcritical Speeds” Journal of Aircraft 18 10 1981 862 868
- Ljung L. Soderstrom T. “Theory and Practice of Recursive Identification” MIT Press 1982